Instructions to use m-aliabbas1/roberta_en_med_merged_classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-aliabbas1/roberta_en_med_merged_classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m-aliabbas1/roberta_en_med_merged_classes")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m-aliabbas1/roberta_en_med_merged_classes") model = AutoModelForSequenceClassification.from_pretrained("m-aliabbas1/roberta_en_med_merged_classes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,182 Bytes
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"architectures": [
"RobertaForSequenceClassification"
],
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"dtype": "float32",
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "affirmation",
"1": "decline",
"2": "language_barrier",
"3": "other",
"4": "not_decision_maker",
"5": "answering_machine",
"6": "say_again",
"7": "Not_Interested",
"8": "BUSY",
"9": "DNC"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
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"DNC": 9,
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"affirmation": 0,
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"decline": 1,
"language_barrier": 2,
"not_decision_maker": 4,
"other": 3,
"say_again": 6
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"transformers_version": "4.56.2",
"type_vocab_size": 1,
"use_cache": true,
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}
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